SmoothWin: Soft Windowing on Linear Regression

The main function in the package utilizes a windowing function in the form of an exponential weighting function. The bandwidth and sharpness of the window are controlled by two parameters. Then, a penalized change point detection is used to identify the right shape of the window (see Charles Kervrann (2004) <doi:10.1007/978-3-540-24672-5_11>).

Version: 1.0.0
Depends: R (≥ 2.0)
Imports: msgps
Published: 2017-09-06
Author: Hamed Haselimashhadi
Maintainer: Hamed Haselimashhadi <hamedhaseli at gmail.com>
License: LGPL-2 | LGPL-2.1 | LGPL-3 [expanded from: LGPL (≥ 2)]
URL: http://hamedhaseli.webs.com
NeedsCompilation: no
CRAN checks: SmoothWin results

Downloads:

Reference manual: SmoothWin.pdf
Package source: SmoothWin_1.0.0.tar.gz
Windows binaries: r-devel: SmoothWin_1.0.0.zip, r-release: SmoothWin_1.0.0.zip, r-oldrel: SmoothWin_1.0.0.zip
OS X El Capitan binaries: r-release: SmoothWin_1.0.0.tgz
OS X Mavericks binaries: r-oldrel: SmoothWin_1.0.0.tgz

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